Triple
T11676800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waco, Georgia |
E277513
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Haralson County |
E343329
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Haralson County | Statement: [Waco, Georgia, county, Haralson County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haralson County Context triple: [Waco, Georgia, county, Haralson County]
-
A.
Haralson County
chosen
Haralson County is a rural county in western Georgia known historically for its location within the Georgia Gold Belt and its small-town communities.
-
B.
Tucker County
Tucker County is a rural county in northeastern West Virginia known for its rugged Appalachian landscapes, state parks, and outdoor recreation opportunities.
-
C.
Garvin County
Garvin County is a county in south-central Oklahoma known for its agricultural economy, small towns, and location within the state's oil and gas region.
-
D.
Dooly County
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
-
E.
Hickman County
Hickman County is a rural county in far western Kentucky, known for its location along the Mississippi River within the Jackson Purchase region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43f59c6108190a9c4c7b17c2fb401 |
completed | May 1, 2026, 5:51 a.m. |
Created at: April 8, 2026, 9:40 p.m.